Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A system comprising: a mobile device comprising: a mobile device processor configured with processor-executable instructions to perform operations comprising monitoring the mobile device to collect data from the mobile device; a first host device comprising: a first datastore; a first memory; and a first processor coupled to the first memory; and a second host device comprising: a second datastore; a second memory; and a second processor coupled to the second memory, the second datastore, and a third datastore, wherein the first processor is configured with processor-executable instructions to perform operations comprising: receiving personal identifying information of a user of the mobile device and demographic information of the user of the mobile device; and storing in the first datastore the personal identifying information and the demographic information in association with a unique identifier that does not disclose the personal identifying information, and wherein the second processor is configured with processor-executable instructions to perform operations comprising: receiving the demographic information in association with the unique identifier from the first datastore; receiving a mobile device identifier of the mobile device; storing in the second datastore the mobile device identifier in association with the unique identifier; receiving the data collected from the mobile device and a device identifier; determining whether the received device identifier matches the mobile device identifier stored in the second datastore; double hashing the received device identifier to generate an obfuscated double hash identifier (ODHID) in response to determining that the received device identifier matches the mobile device identifier stored in the second datastore; and storing in the third datastore the received demographic information and the received data in a folder associated with the ODHID.
The system captures anonymous network usage data. A mobile device monitors itself and collects data. A first server receives user's personal and demographic information, storing it in a database with a unique identifier that hides the personal info. A second server receives the demographic information and the mobile device's identifier, associating them with the same unique identifier in another database. The second server also receives data collected from the mobile device along with a device identifier. If the received device identifier matches the stored device identifier, the received device identifier is double hashed to create an obfuscated double hash identifier (ODHID). Finally, the second server stores the demographic information and the mobile device data in a folder within a database, using the ODHID as the folder name.
2. The system of claim 1 , wherein the second processor is configured with processor-executable instructions to perform operations such that receiving data collected from the mobile device comprises receiving data at pre-determined intervals.
The system described in Claim 1 captures anonymous network usage data, where the second server receives the data collected from the mobile device at pre-determined intervals. Specifically, instead of receiving data continuously or only when triggered by certain events, the system is configured to receive updates from the mobile device on a regular schedule, such as every hour, every day, or any other fixed time period. This periodic data collection allows for consistent monitoring and analysis of network usage patterns over time.
3. The system of claim 1 , wherein the second processor is configured with processor-executable instructions to perform operations further comprising: updating a count in the second datastore associated with the unique identifier so that the count is indicative of a cumulative amount of data reported by the mobile device.
The system described in Claim 1 captures anonymous network usage data, and the second server updates a counter in the second database for each unique identifier. This counter reflects the total amount of data the mobile device has reported. Each time new data is received from a particular mobile device, the counter associated with its unique identifier is incremented. This allows tracking of data contribution by each device.
4. The system of claim 3 , wherein the second processor is configured with processor-executable instructions to perform operations further comprising selecting a reward for the user of the mobile device based on the count.
The system described in Claim 3 captures anonymous network usage data, where the server uses the data reporting counter to select a reward for the mobile device user. The reward is based on how much data the user's device has contributed. Higher data contribution results in a better reward. This could involve digital badges, in-app currency, premium features, or other incentives.
5. The system of claim 1 , wherein the mobile device is selected from the group consisting of a smartphone and a tablet.
The system described in Claim 1 captures anonymous network usage data where the mobile device is a smartphone or tablet.
6. The system of claim 1 , wherein the mobile device processor is configured with processor-executable instructions to perform operations such that monitoring the mobile device to collect data from the mobile device comprises collecting device parameters that include one of: an operating system parameter; a date and time of a monitored event; an Internet protocol (IP) address of the mobile device; the mobile device identifier; a status of the mobile device; and an event identifier.
The system described in Claim 1 captures anonymous network usage data, where the data collected from the mobile device includes device parameters. These parameters can be: the operating system version, the date and time of an event, the mobile device's IP address, the mobile device's identifier, the current status of the mobile device, or an identifier for a specific event.
7. The system of claim 1 , wherein the mobile device processor is configured with processor-executable instructions to perform operations such that monitoring the mobile device to collect data from the mobile device comprises collecting the data in response to detecting one of: an activation of a Bluetooth transceiver; a deactivation of the Bluetooth transceiver; an activation of a Wi-Fi transceiver; a deactivation of the Wi-Fi transceiver, an activation of a global positioning system (GPS) received; a deactivation of the GPS receiver; a switch from a Wi-Fi connection to a cellular connection; an application call operation; a web page access operation; a power on operation; a power off operation; and a telephone call operation.
The system described in Claim 1 captures anonymous network usage data, where data collection is triggered by specific events on the mobile device. These events include: Bluetooth activation/deactivation, Wi-Fi activation/deactivation, GPS activation/deactivation, switching from Wi-Fi to cellular data, application launch, web page access, power on/off, or making/receiving a telephone call. When any of these events occur, the mobile device collects relevant data and sends it to the server.
8. The system of claim 1 , wherein the mobile device processor is configured with processor-executable instructions to perform operations such that monitoring the mobile device to collect data from the mobile device comprises collecting network data parameters that include one of: a network quality measure; network type identifier; a measure of data consumed; a session time; and an application type.
The system described in Claim 1 captures anonymous network usage data where the mobile device collects network data parameters. The network data includes: network quality measure, network type identifier (e.g., 3G, 4G, Wi-Fi), data consumption, session time, and the type of application using the network.
9. The system of claim 1 , wherein the mobile device processor is configured with processor-executable instructions to perform operations such that monitoring the mobile device to collect data from the mobile device comprises collecting location parameters that include one of: global positioning system (GPS) data; a base station identifier; and a sector identifier.
The system described in Claim 1 captures anonymous network usage data where the mobile device collects location parameters. These parameters include: GPS data, base station identifier (cell tower ID), and sector identifier within the cell tower.
10. A method for anonymously collecting data from a mobile device, the method comprising: monitoring mobile device operations in a processor of the mobile device to collect data from the mobile device; receiving at a first host device personal identifying information of a user of the mobile device and demographic information of the user of the mobile device; storing in a first datastore of the first host device the personal identifying information and the demographic information in association with a unique identifier that does not disclose the personal identifying information; receiving in a second host device the demographic information in association with the unique identifier from the first datastore; receiving in the second host device a mobile device identifier of the mobile device; storing in a second datastore of the second host device the mobile device identifier in association with the unique identifier; receiving the data collected from the mobile device and a device identifier; determining whether the received device identifier matches the mobile device identifier stored in the second datastore; double hashing by the second host the device identifier to generate an obfuscated double hash identifier (ODHID) in response to determining that the received device identifier matches the mobile device identifier stored in the second datastore; and storing in a third datastore of the second host the demographic information and collected data in a folder associated with the ODHID.
A method to collect anonymous data from mobile devices involves the following steps: The mobile device monitors its activity and collects data. A first server receives a user's personal and demographic data and stores it in a database, linking it to a unique ID that doesn't reveal the user's personal info. A second server receives the demographic data and unique ID from the first server. This second server also receives the mobile device's identifier and stores it in a database, linked to the same unique ID. The second server receives data collected from the mobile device and a device identifier. If the received device identifier matches the stored device identifier, the second server double hashes the received device identifier to create an obfuscated double hash identifier (ODHID). Finally, it stores the collected data and demographic info in a database folder labeled with the ODHID.
11. The method of claim 10 , wherein receiving in the second host device the data collected from the mobile device comprises receiving data at pre-determined intervals.
The method described in Claim 10 captures anonymous network usage data, and the second server receives data from the mobile device at pre-set time intervals.
12. The method of claim 10 further comprising: updating a count in the second datastore associated with the unique identifier so that the count is indicative of a cumulative amount of data reported by the mobile device.
The method described in Claim 10 captures anonymous network usage data, and the second server updates a counter in its database, associated with each unique ID, reflecting how much data has been reported by that device.
13. The method of claim 12 further comprising; selecting a reward for the user of the mobile device based on the count.
The method described in Claim 12 captures anonymous network usage data, and a reward is chosen for the user, based on the amount of data their device has reported.
14. The method of claim 10 , wherein the mobile device is selected from the group consisting of a smartphone and a tablet.
The method described in Claim 10 captures anonymous network usage data, where the mobile device is a smartphone or a tablet.
15. The method of claim 10 , wherein monitoring mobile device operations to collect data from the mobile device comprises collecting device parameters that include one of: an operating system parameter; a date and time of a monitored event; an Internet protocol (IP) address of the mobile device; the mobile device identifier; a status of the mobile device; and an event identifier.
The method described in Claim 10 captures anonymous network usage data, where the data collected from the mobile device includes the operating system, the time of an event, the IP address, the device ID, its status, and an event ID.
16. The method of claim 10 , wherein monitoring mobile device operations to collect data from the mobile device comprises collecting the data in response to detecting one of: an activation of a Bluetooth transceiver; a deactivation of the Bluetooth transceiver; an activation of a Wi-Fi transceiver; a deactivation of the Wi-Fi transceiver; an activation of a global positioning system (GPS) receiver; a deactivation of the GPS receiver; a switch from a Wi-Fi connection to a cellular connection; an application call operation; to a web page access operation; a power on operation; a power off operation; and a telephone call operation.
The method described in Claim 10 captures anonymous network usage data, where data collection starts when Bluetooth, Wi-Fi, or GPS is activated or deactivated, or when switching from Wi-Fi to cellular, or upon application launch, web page access, power on/off, or telephone call.
17. The method of claim 10 , wherein monitoring mobile device operations to collect data from the mobile device comprises collecting network data parameters that include one of: a network quality measure; network type identifier; a measure of data consumed; a session time; and an application type.
The method described in Claim 10 captures anonymous network usage data, where collected data includes network quality, network type, data consumption, session time, and application type.
18. The method of claim 10 , wherein monitoring mobile device operations to collect data from the mobile device comprises collecting location parameters that include one of: global positioning system (GPS) data; a base station identifier; and a sector identifier.
The method described in Claim 10 captures anonymous network usage data, where collected data includes GPS data, base station ID, and sector ID.
19. A method for anonymously collecting data from a mobile device, the method comprising: monitoring mobile device operations in a processor of the mobile device to collect data from the mobile device; receiving in a first host device personal identifying information of a user of the mobile device and demographic information of the user of the mobile device; storing in a first datastore of the first host device the personal identifying information and the demographic information in association with a unique identifier that does not disclose the personal identifying information; receiving in a second host device the demographic information in association with the unique identifier from the first datastore; receiving in the second host device a mobile device identifier of the mobile device; storing in a second datastore of the second host device the mobile device identifier in association with the unique identifier; double hashing by the second host the device identifier to generate an obfuscated double hash identifier (ODHID); receiving in the second host device the data collected from the mobile device and the device identifier; storing in a third datastore at the second host the demographic information and collected data in a folder associated with the ODHID; monitoring an amount of data reported by the mobile device in the second host device; updating a count in the second datastore associated with the unique identifier so that the count is indicative of a cumulative amount of the data reported by the mobile device; and selecting a reward for the user based on the count.
A method to collect anonymous data from mobile devices: The mobile device collects data. A first server gets personal and demographic data, stores it with a unique ID (hiding the personal data). A second server gets the demographic data and ID from the first server, also the mobile device ID, storing it with the same unique ID. Then, the second server double hashes the device ID to create an obfuscated ID (ODHID). The second server also receives data from the mobile device. It stores the data and demographic info in a folder labeled with the ODHID. The server monitors the amount of data reported, updating a counter in its database linked to the unique ID, and rewards the user based on their data contribution.
20. The method of claim 19 , wherein receiving at the second host data collected from the mobile device comprises receiving data at pre-determined intervals.
The method described in Claim 19 captures anonymous network usage data, where the second server receives data from the mobile device at pre-set time intervals.
21. The method of claim 19 , further comprising determining whether the received device identifier matches the mobile device identifier stored in the second datastore, wherein double hashing the device identifier to generate the ODHID comprises generating the ODHID in response to determining that the received device identifier matches the mobile device identifier stored in the second datastore.
The method described in Claim 19 captures anonymous network usage data, and prior to double hashing the device ID, the system verifies if the received device ID matches a stored ID. If there is a match, the double hashing step proceeds, and the resulting hash is used for storage.
22. The method of claim 19 , wherein the mobile device is selected from the group consisting of a smartphone and a tablet.
The method described in Claim 19 captures anonymous network usage data, where the mobile device is a smartphone or tablet.
23. The method of claim 19 , wherein monitoring mobile device operations to collect data from the mobile device comprises collecting device parameters that include one of: an operating system parameter; a date and time of a monitored event; an Internet protocol (IP) address of the mobile device; the mobile device identifier; a status of the mobile device; and an event identifier.
The method described in Claim 19 captures anonymous network usage data, where the collected data includes device parameters like OS, time of events, IP address, device ID, device status, and event identifiers.
24. The method of claim 19 , wherein monitoring mobile device operations to collect data from the mobile device comprises collecting the data in response to detecting one of: an activation of a Bluetooth transceiver; a deactivation of the Bluetooth transceiver; an activation of a Wi-Fi transceiver; a deactivation of the Wi-Fi transceiver; an activation of a global positioning system (GPS) receiver; a deactivation of the GPS receiver; a switch from a Wi-Fi connection to a cellular connection; an application call operation; a web page access operation; a power on operation; a power off operation; and a telephone call operation.
The method described in Claim 19 captures anonymous network usage data, where data collection is triggered by events such as turning Bluetooth, Wi-Fi, or GPS on/off, switching between Wi-Fi and cellular data, launching applications, accessing web pages, powering on/off, or making phone calls.
25. The method of claim 19 , wherein monitoring mobile device operations to collect data from the mobile device comprises collecting network data parameters that include one of: a network quality measure; network type identifier; a measure of data consumed; a session time; and an application type.
The method described in Claim 19 captures anonymous network usage data, where collected data includes network-related parameters like network quality, network type, data usage, session duration, and the type of application being used.
26. The method of claim 19 , wherein monitoring mobile device operations to collect data from the mobile device comprises collecting location parameters that include one of: global positioning system (GPS) data; a base station identifier; and a sector identifier.
The method described in Claim 19 captures anonymous network usage data, where collected data includes location-based parameters like GPS coordinates, base station IDs, and sector IDs.
27. A system, comprising: a mobile device comprising a mobile device processor configured with processor-executable instructions to perform operations comprising monitoring the mobile device to collect data from the mobile device; a first host device comprising: a first datastore; a first memory; and a first processor coupled to the first memory; a second host device comprising: a second datastore; a third datastore; a second memory; and a second processor coupled to the second datastore, the third datastore, and the second memory, wherein the first processor is configured with processor-executable instructions to perform operations comprising: receiving personal identifying information of a user of the mobile device and demographic information of the user of the mobile device; storing in the first datastore the personal identifying information and the demographic information in association with a unique identifier that does not disclose the personal identifying information; wherein the second processor is configured with processor-executable instructions to perform operations comprising: receiving the demographic information in association with the unique identifier from the first datastore; receiving a mobile device identifier of the mobile device; storing in a second datastore the mobile device identifier in association with the unique identifier; double hashing the device identifier to generate an obfuscated double hash identifier (ODHID); receiving the data collected from the mobile device and the device identifier; storing in a third datastore the demographic information and collected data in a folder associated with the ODHID; monitoring an amount of data reported by the mobile device; updating a count in the second datastore associated with the unique identifier so that the count is indicative of a cumulative amount of the data reported by the mobile device; and selecting a reward for the user based on the count.
The system captures anonymous mobile device data. A mobile device collects data. A first server stores user's personal and demographic info linked to a unique ID. A second server receives this info and device ID, storing the device ID with the same unique ID. It double hashes the device ID to create ODHID. The server receives collected data, stores it and demographic info in ODHID-named folder, tracks the amount of data from each device, updating a counter, and provides user rewards based on data contribution.
28. The method of claim 27 , wherein the second processor is configured with processor-executable instructions to perform operations such that receiving at the second host data collected from the mobile device comprises receiving data at pre-determined intervals.
The system described in Claim 27 captures anonymous network usage data, where the second server receives the mobile device data at predetermined intervals.
29. The method of claim 27 , wherein the second processor is configured with processor-executable instructions to perform operations further comprising determining whether the received device identifier matches the mobile device identifier stored in the second datastore, and wherein second processor is configured with processor-executable instructions to perform operations such that double hashing the device identifier to generate the ODHID comprises generating the ODHID in response to determining that the received device identifier matches the mobile device identifier stored in the second datastore.
The system described in Claim 27 captures anonymous network usage data, where, before double-hashing, the received device identifier is checked against a stored identifier. Only if they match is the double-hashing performed.
30. The method of claim 27 , wherein the mobile device is selected from the group consisting of a smartphone and a tablet.
The system described in Claim 27 captures anonymous network usage data, where the mobile device is a smartphone or a tablet.
31. The method of claim 27 , wherein the mobile device processor is configured with processor-executable instructions to perform operations such that monitoring mobile device operations to collect data from the mobile device comprises collecting device parameters that include one of: an operating system parameter; a date and time of a monitored event; an Internet protocol (IP) address of the mobile device; the mobile device identifier; a status of the mobile device; and an event identifier.
The system described in Claim 27 captures anonymous network usage data, where collected data includes OS parameters, timestamps, IP address, device ID, device status, and event ID.
32. The method of claim 27 , wherein the mobile device processor is configured with processor-executable instructions to perform operations such that monitoring mobile device operations to collect data from the mobile device comprises collecting the data in response to detecting one of: an activation of a Bluetooth transceiver; a deactivation of the Bluetooth transceiver; an activation of a Wi-Fi transceiver; a deactivation of the Wi-Fi transceiver; an activation of a global positioning system (GPS) receiver; a deactivation of the GPS receiver; a switch from a Wi-Fi connection to a cellular connection; an application call operation; a web page access operation; a power on operation; a power off operation; and a telephone call operation.
The system described in Claim 27 captures anonymous network usage data, where data collection is triggered by enabling/disabling Bluetooth, Wi-Fi or GPS, switching network connections, launching apps, accessing web pages, power on/off actions, or phone calls.
33. The method of claim 27 , wherein the mobile device processor is configured with processor-executable instructions to perform operations such that monitoring mobile device operations to collect data from the mobile device comprises collecting network data parameters that include one of: a network quality measure; network type identifier; a measure of data consumed; a session time; and an application type.
The system described in Claim 27 captures anonymous network usage data, where the mobile device gathers network data parameters including network quality, network type, data usage, session length, and app type.
34. The method of claim 27 , wherein the mobile device processor is configured with processor-executable instructions to perform operations such that monitoring mobile device operations to collect data from the mobile device comprises collecting location parameters that include one of: global positioning system (GPS) data; a base station identifier; and a sector identifier.
The system described in Claim 27 captures anonymous network usage data, where collected data includes GPS data, cell tower ID, and sector ID.
Unknown
August 26, 2014
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